首页> 中文期刊> 《数学季刊(英文版)》 >在一种扩展多层感知器模型中实现命题知识的语义推演

在一种扩展多层感知器模型中实现命题知识的语义推演

         

摘要

The paper presents an extension multi-layer perceptron model that is capable of representing and reasoning propositional knowledge base. An extended version of propositional calculus is developed, and its some properties is discussed. Formulas of the extended calculus can be expressed in the extension multi-layer perceptron. Naturally, semantic deduction of propositional knowledge base can be implement by the extension multi-layer perceptron, and by learning, an unknown formula set can be found.

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